Pandas Profiling Report

Dataset statistics

Number of variables	25
Number of observations	145460
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	23.6 MiB
Average record size in memory	170.0 B

Variable types

Numeric	20
Categorical	5

Alerts

`Rainfall` has constant value "-0.29999999999999993"	Constant
`MinTemp` is highly correlated with `Temp9am`	High correlation
`MaxTemp` is highly correlated with `Temp9am` and 1 other fields	High correlation
`WindGustDir` is highly correlated with `WindDir3pm`	High correlation
`WindDir3pm` is highly correlated with `WindGustDir`	High correlation
`Humidity9am` is highly correlated with `Humidity3pm`	High correlation
`Humidity3pm` is highly correlated with `Humidity9am`	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Temp9am` is highly correlated with `MinTemp` and 1 other fields	High correlation
`Temp3pm` is highly correlated with `MaxTemp`	High correlation
`MinTemp` is highly correlated with `Temp9am`	High correlation
`MaxTemp` is highly correlated with `Temp9am` and 1 other fields	High correlation
`WindGustDir` is highly correlated with `WindDir3pm`	High correlation
`WindDir3pm` is highly correlated with `WindGustDir`	High correlation
`Humidity9am` is highly correlated with `Humidity3pm`	High correlation
`Humidity3pm` is highly correlated with `Humidity9am`	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Temp9am` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Temp3pm` is highly correlated with `MaxTemp` and 1 other fields	High correlation
`MinTemp` is highly correlated with `Temp9am`	High correlation
`MaxTemp` is highly correlated with `Temp9am` and 1 other fields	High correlation
`Humidity9am` is highly correlated with `Humidity3pm`	High correlation
`Humidity3pm` is highly correlated with `Humidity9am`	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Temp9am` is highly correlated with `MinTemp` and 1 other fields	High correlation
`Temp3pm` is highly correlated with `MaxTemp`	High correlation
`Rainfall` is highly correlated with `WindSpeed9am` and 3 other fields	High correlation
`WindSpeed9am` is highly correlated with `Rainfall`	High correlation
`RainTomorrow` is highly correlated with `Rainfall`	High correlation
`Evaporation` is highly correlated with `Rainfall`	High correlation
`RainToday` is highly correlated with `Rainfall`	High correlation
`MinTemp` is highly correlated with `MaxTemp` and 1 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 2 other fields	High correlation
`WindGustDir` is highly correlated with `WindDir9am` and 1 other fields	High correlation
`WindDir9am` is highly correlated with `WindGustDir` and 2 other fields	High correlation
`WindDir3pm` is highly correlated with `WindGustDir` and 1 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindDir9am`	High correlation
`Humidity9am` is highly correlated with `Humidity3pm`	High correlation
`Humidity3pm` is highly correlated with `Humidity9am`	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Temp9am` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Temp3pm` is highly correlated with `MaxTemp` and 1 other fields	High correlation
`Location` has 3193 (2.2%) zeros	Zeros
`Sunshine` has 4515 (3.1%) zeros	Zeros
`WindGustDir` has 9181 (6.3%) zeros	Zeros
`WindDir9am` has 9176 (6.3%) zeros	Zeros
`WindDir3pm` has 8472 (5.8%) zeros	Zeros
`Cloud9am` has 14044 (9.7%) zeros	Zeros
`Cloud3pm` has 8421 (5.8%) zeros	Zeros

Reproduction

Analysis started	2022-07-22 16:09:34.212614
Analysis finished	2022-07-22 16:12:20.943449
Duration	2 minutes and 46.73 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

Location
Real number (ℝ_≥0)

ZEROS

Distinct	49
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.79352399

Minimum	0
Maximum	48
Zeros	3193
Zeros (%)	2.2%
Negative	0
Negative (%)	0.0%
Memory size	568.3 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	11
median	24
Q3	36
95-th percentile	46
Maximum	48
Range	48
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	14.22868729
Coefficient of variation (CV)	0.5980067223
Kurtosis	-1.215750407
Mean	23.79352399
Median Absolute Deviation (MAD)	12
Skewness	0.01540564132
Sum	3461006
Variance	202.4555421
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
9	3436	2.4%
37	3344	2.3%
13	3193	2.2%
18	3193	2.2%
7	3193	2.2%
0	3193	2.2%
31	3193	2.2%
15	3193	2.2%
1	3040	2.1%
22	3040	2.1%
Other values (39)	113442	78.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3193	2.2%
1	3040	2.1%
2	3040	2.1%
3	3040	2.1%
4	3009	2.1%
5	3040	2.1%
6	3040	2.1%
7	3193	2.2%
8	3040	2.1%
9	3436	2.4%

Value	Count	Frequency (%)
48	3009	2.1%
47	3040	2.1%
46	3009	2.1%
45	3009	2.1%
44	3009	2.1%
43	3006	2.1%
42	3009	2.1%
41	1578	1.1%
40	3039	2.1%
39	3040	2.1%

MinTemp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	93
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.955158807

Minimum	-5.95
Maximum	3.15
Zeros	159
Zeros (%)	0.1%
Negative	3464
Negative (%)	2.4%
Memory size	1.1 MiB

Quantile statistics

Minimum	-5.95
5-th percentile	1.8
Q1	3.15
median	3.15
Q3	3.15
95-th percentile	3.15
Maximum	3.15
Range	9.1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8773942461
Coefficient of variation (CV)	0.2969025706
Kurtosis	36.1463665
Mean	2.955158807
Median Absolute Deviation (MAD)	0
Skewness	-5.669254062
Sum	429857.4
Variance	0.7698206631
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.15	134139	92.2%
2.9	366	0.3%
3.1	353	0.2%
3	351	0.2%
2.6	328	0.2%
2.5	326	0.2%
2.3	313	0.2%
2.7	313	0.2%
2.4	289	0.2%
1.8	280	0.2%
Other values (83)	8402	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-5.95	71	< 0.1%
-5.9	7	< 0.1%
-5.8	10	< 0.1%
-5.7	6	< 0.1%
-5.6	6	< 0.1%
-5.5	12	< 0.1%
-5.4	8	< 0.1%
-5.3	15	< 0.1%
-5.2	13	< 0.1%
-5.1	13	< 0.1%

Value	Count	Frequency (%)
3.15	134139	92.2%
3.1	353	0.2%
3	351	0.2%
2.9	366	0.3%
2.8	266	0.2%
2.7	313	0.2%
2.6	328	0.2%
2.5	326	0.2%
2.4	289	0.2%
2.3	313	0.2%

MaxTemp
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	103
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.77265296

Minimum	2.7
Maximum	12.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	2.7
5-th percentile	12.9
Q1	12.9
median	12.9
Q3	12.9
95-th percentile	12.9
Maximum	12.9
Range	10.2
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8331840481
Coefficient of variation (CV)	0.06523187082
Kurtosis	91.48722277
Mean	12.77265296
Median Absolute Deviation (MAD)	0
Skewness	-9.03551999
Sum	1857910.1
Variance	0.694195658
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.9	138238	95.0%
2.7	360	0.2%
12.4	331	0.2%
12.8	323	0.2%
12.6	319	0.2%
12.5	292	0.2%
12.7	280	0.2%
12.3	259	0.2%
12.1	252	0.2%
12.2	247	0.2%
Other values (93)	4559	3.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.7	360	0.2%
2.8	5	< 0.1%
2.9	20	< 0.1%
3	21	< 0.1%
3.1	9	< 0.1%
3.2	12	< 0.1%
3.3	12	< 0.1%
3.4	12	< 0.1%
3.5	10	< 0.1%
3.6	9	< 0.1%

Value	Count	Frequency (%)
12.9	138238	95.0%
12.8	323	0.2%
12.7	280	0.2%
12.6	319	0.2%
12.5	292	0.2%
12.4	331	0.2%
12.3	259	0.2%
12.2	247	0.2%
12.1	252	0.2%
12	214	0.1%

Rainfall
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

-0.29999999999999993	145460

Length

Max length	20
Median length	20
Mean length	20
Min length	20

Characters and Unicode

Total characters	2909200
Distinct characters	6
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-0.29999999999999993
2nd row	-0.29999999999999993
3rd row	-0.29999999999999993
4th row	-0.29999999999999993
5th row	-0.29999999999999993

Common Values

Value	Count	Frequency (%)
-0.29999999999999993	145460	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.29999999999999993	145460	100.0%

Most occurring characters

Value	Count	Frequency (%)
9	2181900	75.0%
-	145460	5.0%
0	145460	5.0%
.	145460	5.0%
2	145460	5.0%
3	145460	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2618280	90.0%
Dash Punctuation	145460	5.0%
Other Punctuation	145460	5.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	2181900	83.3%
0	145460	5.6%
2	145460	5.6%
3	145460	5.6%

Dash Punctuation

Value	Count	Frequency (%)
-	145460	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	145460	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2909200	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	2181900	75.0%
-	145460	5.0%
0	145460	5.0%
.	145460	5.0%
2	145460	5.0%
3	145460	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2909200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	2181900	75.0%
-	145460	5.0%
0	145460	5.0%
.	145460	5.0%
2	145460	5.0%
3	145460	5.0%

Evaporation
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

0.1999999999999993	145018
0.0	428
0.1	14

Length

Max length	18
Median length	18
Mean length	17.95442046
Min length	3

Characters and Unicode

Total characters	2611650
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.1999999999999993
2nd row	0.1999999999999993
3rd row	0.1999999999999993
4th row	0.1999999999999993
5th row	0.1999999999999993

Common Values

Value	Count	Frequency (%)
0.1999999999999993	145018	99.7%
0.0	428	0.3%
0.1	14	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.1999999999999993	145018	99.7%
0.0	428	0.3%
0.1	14	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
9	2030252	77.7%
0	145888	5.6%
.	145460	5.6%
1	145032	5.6%
3	145018	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2466190	94.4%
Other Punctuation	145460	5.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	2030252	82.3%
0	145888	5.9%
1	145032	5.9%
3	145018	5.9%

Other Punctuation

Value	Count	Frequency (%)
.	145460	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2611650	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	2030252	77.7%
0	145888	5.6%
.	145460	5.6%
1	145032	5.6%
3	145018	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2611650	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	2030252	77.7%
0	145888	5.6%
.	145460	5.6%
1	145032	5.6%
3	145018	5.6%

Sunshine
Real number (ℝ_≥0)

ZEROS

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.757248041

Minimum	0
Maximum	1.9
Zeros	4515
Zeros (%)	3.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	1.9
median	1.9
Q3	1.9
95-th percentile	1.9
Maximum	1.9
Range	1.9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4490663585
Coefficient of variation (CV)	0.2555509229
Kurtosis	8.400603661
Mean	1.757248041
Median Absolute Deviation (MAD)	0
Skewness	-3.133224841
Sum	255609.3
Variance	0.2016605943
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1.9	128527	88.4%
0	4515	3.1%
0.1	1045	0.7%
0.2	1008	0.7%
0.3	833	0.6%
0.7	664	0.5%
1	639	0.4%
0.5	622	0.4%
0.8	619	0.4%
0.4	619	0.4%
Other values (11)	6369	4.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4515	3.1%
0.1	1045	0.7%
0.2	1008	0.7%
0.3	833	0.6%
0.4	619	0.4%
0.5	622	0.4%
0.6	572	0.4%
0.7	664	0.5%
0.8	619	0.4%
0.9	615	0.4%

Value	Count	Frequency (%)
1.9	128527	88.4%
1.9	581	0.4%
1.8	589	0.4%
1.7	585	0.4%
1.6	591	0.4%
1.5	568	0.4%
1.4	578	0.4%
1.3	560	0.4%
1.2	613	0.4%
1.1	517	0.4%

WindGustDir
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.306565379

Minimum	0
Maximum	16
Zeros	9181
Zeros (%)	6.3%
Negative	0
Negative (%)	0.0%
Memory size	568.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	9
Q3	13
95-th percentile	16
Maximum	16
Range	16
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	4.971721938
Coefficient of variation (CV)	0.5985292009
Kurtosis	-1.206774913
Mean	8.306565379
Median Absolute Deviation (MAD)	4
Skewness	-0.1079607714
Sum	1208273
Variance	24.71801903
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
16	10326	7.1%
13	9915	6.8%
9	9418	6.5%
3	9313	6.4%
10	9216	6.3%
0	9181	6.3%
8	9168	6.3%
15	9069	6.2%
12	8967	6.2%
11	8736	6.0%
Other values (7)	52151	35.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9181	6.3%
1	8104	5.6%
2	7372	5.1%
3	9313	6.4%
4	7133	4.9%
5	6548	4.5%
6	6620	4.6%
7	8122	5.6%
8	9168	6.3%
9	9418	6.5%

Value	Count	Frequency (%)
16	10326	7.1%
15	9069	6.2%
14	8252	5.7%
13	9915	6.8%
12	8967	6.2%
11	8736	6.0%
10	9216	6.3%
9	9418	6.5%
8	9168	6.3%
7	8122	5.6%

WindGustSpeed
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.17683556

Minimum	8.5
Maximum	23.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	8.5
5-th percentile	20
Q1	23.5
median	23.5
Q3	23.5
95-th percentile	23.5
Maximum	23.5
Range	15
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.411944224
Coefficient of variation (CV)	0.06092049194
Kurtosis	33.48348705
Mean	23.17683556
Median Absolute Deviation (MAD)	0
Skewness	-5.434555698
Sum	3371302.5
Variance	1.993586491
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
23.5	135215	93.0%
22	2810	1.9%
20	2627	1.8%
19	1751	1.2%
17	1387	1.0%
15	835	0.6%
13	532	0.4%
11	192	0.1%
9	91	0.1%
8.5	20	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8.5	20	< 0.1%
9	91	0.1%
11	192	0.1%
13	532	0.4%
15	835	0.6%
17	1387	1.0%
19	1751	1.2%
20	2627	1.8%
22	2810	1.9%
23.5	135215	93.0%

Value	Count	Frequency (%)
23.5	135215	93.0%
22	2810	1.9%
20	2627	1.8%
19	1751	1.2%
17	1387	1.0%
15	835	0.6%
13	532	0.4%
11	192	0.1%
9	91	0.1%
8.5	20	< 0.1%

WindDir9am
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.943826482

Minimum	0
Maximum	16
Zeros	9176
Zeros (%)	6.3%
Negative	0
Negative (%)	0.0%
Memory size	568.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	8
Q3	12
95-th percentile	16
Maximum	16
Range	16
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	4.921740236
Coefficient of variation (CV)	0.6195679434
Kurtosis	-1.190664591
Mean	7.943826482
Median Absolute Deviation (MAD)	4
Skewness	0.03523503421
Sum	1155509
Variance	24.22352695
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
3	11758	8.1%
16	10566	7.3%
9	9287	6.4%
0	9176	6.3%
10	9112	6.3%
7	8749	6.0%
8	8659	6.0%
13	8459	5.8%
12	8423	5.8%
5	8129	5.6%
Other values (7)	53142	36.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9176	6.3%
1	7836	5.4%
2	7630	5.2%
3	11758	8.1%
4	7671	5.3%
5	8129	5.6%
6	7980	5.5%
7	8749	6.0%
8	8659	6.0%
9	9287	6.4%

Value	Count	Frequency (%)
16	10566	7.3%
15	7024	4.8%
14	7414	5.1%
13	8459	5.8%
12	8423	5.8%
11	7587	5.2%
10	9112	6.3%
9	9287	6.4%
8	8659	6.0%
7	8749	6.0%

WindDir3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.002316788

Minimum	0
Maximum	16
Zeros	8472
Zeros (%)	5.8%
Negative	0
Negative (%)	0.0%
Memory size	568.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	8
Q3	12
95-th percentile	15
Maximum	16
Range	16
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	4.739864816
Coefficient of variation (CV)	0.5923115695
Kurtosis	-1.172833096
Mean	8.002316788
Median Absolute Deviation (MAD)	4
Skewness	-0.08180784459
Sum	1164017
Variance	22.46631848
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
9	10838	7.5%
13	10110	7.0%
8	9926	6.8%
15	9518	6.5%
10	9399	6.5%
12	9354	6.4%
3	8890	6.1%
14	8874	6.1%
7	8610	5.9%
2	8505	5.8%
Other values (7)	51436	35.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8472	5.8%
1	7857	5.4%
2	8505	5.8%
3	8890	6.1%
4	8263	5.7%
5	6590	4.5%
6	7870	5.4%
7	8610	5.9%
8	9926	6.8%
9	10838	7.5%

Value	Count	Frequency (%)
16	4228	2.9%
15	9518	6.5%
14	8874	6.1%
13	10110	7.0%
12	9354	6.4%
11	8156	5.6%
10	9399	6.5%
9	10838	7.5%
8	9926	6.8%
7	8610	5.9%

WindSpeed9am
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

1.0	136715
0.0	8745

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	436380
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	136715	94.0%
0.0	8745	6.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	136715	94.0%
0.0	8745	6.0%

Most occurring characters

Value	Count	Frequency (%)
0	154205	35.3%
.	145460	33.3%
1	136715	31.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	290920	66.7%
Other Punctuation	145460	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	154205	53.0%
1	136715	47.0%

Other Punctuation

Value	Count	Frequency (%)
.	145460	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	436380	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	154205	35.3%
.	145460	33.3%
1	136715	31.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	436380	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	154205	35.3%
.	145460	33.3%
1	136715	31.3%

WindSpeed3pm
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.289925065

Minimum	0
Maximum	7.5
Zeros	1112
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	7.5
median	7.5
Q3	7.5
95-th percentile	7.5
Maximum	7.5
Range	7.5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.9269972122
Coefficient of variation (CV)	0.1271614185
Kurtosis	36.33111185
Mean	7.289925065
Median Absolute Deviation (MAD)	0
Skewness	-5.791315262
Sum	1060392.5
Variance	0.8593238313
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
7.5	131357	90.3%
7	5903	4.1%
6	3805	2.6%
4	2249	1.5%
0	1112	0.8%
2	1034	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1112	0.8%
2	1034	0.7%
4	2249	1.5%
6	3805	2.6%
7	5903	4.1%
7.5	131357	90.3%

Value	Count	Frequency (%)
7.5	131357	90.3%
7	5903	4.1%
6	3805	2.6%
4	2249	1.5%
2	1034	0.7%
0	1112	0.8%

Humidity9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	27
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.86299326

Minimum	18
Maximum	44
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	18
5-th percentile	34
Q1	44
median	44
Q3	44
95-th percentile	44
Maximum	44
Range	26
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	4.327653003
Coefficient of variation (CV)	0.1009647874
Kurtosis	18.56392953
Mean	42.86299326
Median Absolute Deviation (MAD)	0
Skewness	-4.310338068
Sum	6234851
Variance	18.72858051
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
44	131586	90.5%
18	1626	1.1%
43	925	0.6%
42	873	0.6%
41	780	0.5%
40	769	0.5%
39	713	0.5%
38	709	0.5%
37	605	0.4%
36	590	0.4%
Other values (17)	6284	4.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	1626	1.1%
19	185	0.1%
20	244	0.2%
21	272	0.2%
22	261	0.2%
23	301	0.2%
24	299	0.2%
25	318	0.2%
26	328	0.2%
27	377	0.3%

Value	Count	Frequency (%)
44	131586	90.5%
43	925	0.6%
42	873	0.6%
41	780	0.5%
40	769	0.5%
39	713	0.5%
38	709	0.5%
37	605	0.4%
36	590	0.4%
35	575	0.4%

Humidity3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.30887529

Minimum	0
Maximum	23
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	17
Q1	23
median	23
Q3	23
95-th percentile	23
Maximum	23
Range	23
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.632552869
Coefficient of variation (CV)	0.1180047329
Kurtosis	19.88364965
Mean	22.30887529
Median Absolute Deviation (MAD)	0
Skewness	-4.373517348
Sum	3245049
Variance	6.93033461
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
23	132258	90.9%
22	1165	0.8%
21	1106	0.8%
20	1045	0.7%
19	1043	0.7%
17	940	0.6%
18	906	0.6%
16	879	0.6%
15	855	0.6%
14	776	0.5%
Other values (14)	4487	3.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	26	< 0.1%
2	35	< 0.1%
3	63	< 0.1%
4	113	0.1%
5	157	0.1%
6	242	0.2%
7	303	0.2%
8	422	0.3%
9	481	0.3%

Value	Count	Frequency (%)
23	132258	90.9%
22	1165	0.8%
21	1106	0.8%
20	1045	0.7%
19	1043	0.7%
18	906	0.6%
17	940	0.6%
16	879	0.6%
15	855	0.6%
14	776	0.5%

Pressure9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	85
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1009.003112

Minimum	1001.05
Maximum	1009.35
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	1001.05
5-th percentile	1006.6
Q1	1009.35
median	1009.35
Q3	1009.35
95-th percentile	1009.35
Maximum	1009.35
Range	8.3
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.325097266
Coefficient of variation (CV)	0.001313273716
Kurtosis	20.506332
Mean	1009.003112
Median Absolute Deviation (MAD)	0
Skewness	-4.479227861
Sum	146769592.7
Variance	1.755882765
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1009.35	130407	89.7%
1001.05	1593	1.1%
1009.1	366	0.3%
1009	360	0.2%
1009.3	356	0.2%
1009.2	352	0.2%
1008.9	350	0.2%
1008.6	334	0.2%
1008.7	317	0.2%
1008.1	315	0.2%
Other values (75)	10710	7.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1001.05	1593	1.1%
1001.1	40	< 0.1%
1001.2	41	< 0.1%
1001.3	45	< 0.1%
1001.4	48	< 0.1%
1001.5	44	< 0.1%
1001.6	48	< 0.1%
1001.7	55	< 0.1%
1001.8	42	< 0.1%
1001.9	74	0.1%

Value	Count	Frequency (%)
1009.35	130407	89.7%
1009.3	356	0.2%
1009.2	352	0.2%
1009.1	366	0.3%
1009	360	0.2%
1008.9	350	0.2%
1008.8	308	0.2%
1008.7	317	0.2%
1008.6	334	0.2%
1008.5	291	0.2%

Pressure3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	85
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1006.624309

Minimum	998.65
Maximum	1006.95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	998.65
5-th percentile	1004.4
Q1	1006.95
median	1006.95
Q3	1006.95
95-th percentile	1006.95
Maximum	1006.95
Range	8.3
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.26220643
Coefficient of variation (CV)	0.001253900207
Kurtosis	22.2572895
Mean	1006.624309
Median Absolute Deviation (MAD)	0
Skewness	-4.627245389
Sum	146423572.1
Variance	1.593165071
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1006.95	130484	89.7%
998.65	1351	0.9%
1006.8	392	0.3%
1006.7	392	0.3%
1006.9	384	0.3%
1006.3	364	0.3%
1006.4	361	0.2%
1006.2	361	0.2%
1006	355	0.2%
1006.6	350	0.2%
Other values (75)	10666	7.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
998.65	1351	0.9%
998.7	34	< 0.1%
998.8	40	< 0.1%
998.9	51	< 0.1%
999	56	< 0.1%
999.1	47	< 0.1%
999.2	45	< 0.1%
999.3	45	< 0.1%
999.4	47	< 0.1%
999.5	34	< 0.1%

Value	Count	Frequency (%)
1006.95	130484	89.7%
1006.9	384	0.3%
1006.8	392	0.3%
1006.7	392	0.3%
1006.6	350	0.2%
1006.5	349	0.2%
1006.4	361	0.2%
1006.3	364	0.3%
1006.2	361	0.2%
1006.1	317	0.2%

Cloud9am
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.446555754

Minimum	0
Maximum	9
Zeros	14044
Zeros (%)	9.7%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.887669495
Coefficient of variation (CV)	0.6494171341
Kurtosis	-1.539653284
Mean	4.446555754
Median Absolute Deviation (MAD)	3
Skewness	-0.2285027674
Sum	646796
Variance	8.33863511
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	32438	22.3%
1	25477	17.5%
8	23862	16.4%
0	14044	9.7%
6	13283	9.1%
2	10602	7.3%
3	9583	6.6%
5	9007	6.2%
4	7161	4.9%
9	3	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14044	9.7%
1	25477	17.5%
2	10602	7.3%
3	9583	6.6%
4	7161	4.9%
5	9007	6.2%
6	13283	9.1%
7	32438	22.3%
8	23862	16.4%
9	3	< 0.1%

Value	Count	Frequency (%)
9	3	< 0.1%
8	23862	16.4%
7	32438	22.3%
6	13283	9.1%
5	9007	6.2%
4	7161	4.9%
3	9583	6.6%
2	10602	7.3%
1	25477	17.5%
0	14044	9.7%

Cloud3pm
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.508112196

Minimum	0
Maximum	9
Zeros	8421
Zeros (%)	5.8%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.719516652
Coefficient of variation (CV)	0.6032495496
Kurtosis	-1.455817564
Mean	4.508112196
Median Absolute Deviation (MAD)	2
Skewness	-0.225311987
Sum	655750
Variance	7.395770819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	30723	21.1%
1	25253	17.4%
8	21364	14.7%
6	15192	10.4%
2	12232	8.4%
3	11724	8.1%
5	11522	7.9%
4	9027	6.2%
0	8421	5.8%
9	2	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8421	5.8%
1	25253	17.4%
2	12232	8.4%
3	11724	8.1%
4	9027	6.2%
5	11522	7.9%
6	15192	10.4%
7	30723	21.1%
8	21364	14.7%
9	2	< 0.1%

Value	Count	Frequency (%)
9	2	< 0.1%
8	21364	14.7%
7	30723	21.1%
6	15192	10.4%
5	11522	7.9%
4	9027	6.2%
3	11724	8.1%
2	12232	8.4%
1	25253	17.4%
0	8421	5.8%

Temp9am
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	94
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.529746322

Minimum	-1.5
Maximum	7.7
Zeros	36
Zeros (%)	< 0.1%
Negative	443
Negative (%)	0.3%
Memory size	1.1 MiB

Quantile statistics

Minimum	-1.5
5-th percentile	7
Q1	7.7
median	7.7
Q3	7.7
95-th percentile	7.7
Maximum	7.7
Range	9.2
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8749039589
Coefficient of variation (CV)	0.1161930192
Kurtosis	48.77634091
Mean	7.529746322
Median Absolute Deviation (MAD)	0
Skewness	-6.592583459
Sum	1095276.9
Variance	0.7654569373
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.7	135897	93.4%
7.7	336	0.2%
7.6	314	0.2%
7.2	309	0.2%
7.4	301	0.2%
7	283	0.2%
7.5	280	0.2%
7.3	272	0.2%
7.1	270	0.2%
6.6	249	0.2%
Other values (84)	6949	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1.5	203	0.1%
-1.4	9	< 0.1%
-1.3	15	< 0.1%
-1.2	11	< 0.1%
-1.1	16	< 0.1%
-1	10	< 0.1%
-0.9	13	< 0.1%
-0.8	20	< 0.1%
-0.7	17	< 0.1%
-0.6	14	< 0.1%

Value	Count	Frequency (%)
7.7	135897	93.4%
7.7	336	0.2%
7.6	314	0.2%
7.5	280	0.2%
7.4	301	0.2%
7.3	272	0.2%
7.2	309	0.2%
7.1	270	0.2%
7	283	0.2%
6.9	231	0.2%

Temp3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	97
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.80762959

Minimum	2.45
Maximum	11.95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	2.45
5-th percentile	11.6
Q1	11.95
median	11.95
Q3	11.95
95-th percentile	11.95
Maximum	11.95
Range	9.5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8430120279
Coefficient of variation (CV)	0.07139553469
Kurtosis	74.88389983
Mean	11.80762959
Median Absolute Deviation (MAD)	0
Skewness	-8.144270863
Sum	1717537.8
Variance	0.7106692792
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.95	136984	94.2%
2.45	452	0.3%
11.9	383	0.3%
11.8	359	0.2%
11.7	329	0.2%
11.6	317	0.2%
11.5	301	0.2%
11.4	299	0.2%
11.2	280	0.2%
11.1	268	0.2%
Other values (87)	5488	3.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.45	452	0.3%
2.5	15	< 0.1%
2.6	16	< 0.1%
2.7	10	< 0.1%
2.8	18	< 0.1%
2.9	14	< 0.1%
3	15	< 0.1%
3.1	8	< 0.1%
3.2	13	< 0.1%
3.3	6	< 0.1%

Value	Count	Frequency (%)
11.95	136984	94.2%
11.9	383	0.3%
11.8	359	0.2%
11.7	329	0.2%
11.6	317	0.2%
11.5	301	0.2%
11.4	299	0.2%
11.3	262	0.2%
11.2	280	0.2%
11.1	268	0.2%

RainToday
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

0	113580
1	31880

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	145460
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	113580	78.1%
1	31880	21.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	113580	78.1%
1	31880	21.9%

Most occurring characters

Value	Count	Frequency (%)
0	113580	78.1%
1	31880	21.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	145460	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	113580	78.1%
1	31880	21.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	145460	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	113580	78.1%
1	31880	21.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	145460	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	113580	78.1%
1	31880	21.9%

RainTomorrow
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

0	113583
1	31877

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	145460
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	113583	78.1%
1	31877	21.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	113583	78.1%
1	31877	21.9%

Most occurring characters

Value	Count	Frequency (%)
0	113583	78.1%
1	31877	21.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	145460	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	113583	78.1%
1	31877	21.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	145460	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	113583	78.1%
1	31877	21.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	145460	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	113583	78.1%
1	31877	21.9%

date_day
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.71225767

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.794788689
Coefficient of variation (CV)	0.5597406099
Kurtosis	-1.191996506
Mean	15.71225767
Median Absolute Deviation (MAD)	8
Skewness	0.009040082176
Sum	2285505
Variance	77.34830808
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	4786	3.3%
13	4786	3.3%
23	4786	3.3%
22	4786	3.3%
21	4786	3.3%
20	4786	3.3%
19	4786	3.3%
18	4786	3.3%
17	4786	3.3%
2	4786	3.3%
Other values (21)	97600	67.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4786	3.3%
2	4786	3.3%
3	4786	3.3%
4	4786	3.3%
5	4786	3.3%
6	4786	3.3%
7	4786	3.3%
8	4786	3.3%
9	4786	3.3%
10	4786	3.3%

Value	Count	Frequency (%)
31	2807	1.9%
30	4351	3.0%
29	4449	3.1%
28	4735	3.3%
27	4735	3.3%
26	4736	3.3%
25	4784	3.3%
24	4785	3.3%
23	4786	3.3%
22	4786	3.3%

date_month
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.399615014

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.427261608
Coefficient of variation (CV)	0.5355418412
Kurtosis	-1.191879728
Mean	6.399615014
Median Absolute Deviation (MAD)	3
Skewness	0.03034286711
Sum	930888
Variance	11.74612213
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	13361	9.2%
5	13353	9.2%
1	13236	9.1%
6	12684	8.7%
8	12028	8.3%
10	12028	8.3%
7	12025	8.3%
11	11669	8.0%
9	11640	8.0%
4	11550	7.9%
Other values (2)	21886	15.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	13236	9.1%
2	10793	7.4%
3	13361	9.2%
4	11550	7.9%
5	13353	9.2%
6	12684	8.7%
7	12025	8.3%
8	12028	8.3%
9	11640	8.0%
10	12028	8.3%

Value	Count	Frequency (%)
12	11093	7.6%
11	11669	8.0%
10	12028	8.3%
9	11640	8.0%
8	12028	8.3%
7	12025	8.3%
6	12684	8.7%
5	13353	9.2%
4	11550	7.9%
3	13361	9.2%

date_year
Real number (ℝ_≥0)

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2012.769751

Minimum	2007
Maximum	2017
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	2007
5-th percentile	2009
Q1	2011
median	2013
Q3	2015
95-th percentile	2017
Maximum	2017
Range	10
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.537683738
Coefficient of variation (CV)	0.00126079187
Kurtosis	-1.180677648
Mean	2012.769751
Median Absolute Deviation (MAD)	2
Skewness	-0.04935666893
Sum	292777488
Variance	6.439838752
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
2016	17934	12.3%
2014	17885	12.3%
2015	17885	12.3%
2009	16789	11.5%
2010	16782	11.5%
2013	16415	11.3%
2012	15409	10.6%
2011	15407	10.6%
2017	8623	5.9%
2008	2270	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2007	61	< 0.1%
2008	2270	1.6%
2009	16789	11.5%
2010	16782	11.5%
2011	15407	10.6%
2012	15409	10.6%
2013	16415	11.3%
2014	17885	12.3%
2015	17885	12.3%
2016	17934	12.3%

Value	Count	Frequency (%)
2017	8623	5.9%
2016	17934	12.3%
2015	17885	12.3%
2014	17885	12.3%
2013	16415	11.3%
2012	15409	10.6%
2011	15407	10.6%
2010	16782	11.5%
2009	16789	11.5%
2008	2270	1.6%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Location	MinTemp	MaxTemp	Rainfall	Evaporation	Sunshine	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	RainToday	RainTomorrow	date_day	date_month	date_year
0	2	3.15	12.9	-0.3	0.2	1.9	13	23.5	13	14	1.0	7.5	44.0	22.0	1007.70	1006.95	8.0	0.0	7.7	11.95	0	0	1	12	2008
1	2	3.15	12.9	-0.3	0.2	1.9	14	23.5	6	15	1.0	7.5	44.0	23.0	1009.35	1006.95	7.0	1.0	7.7	11.95	0	0	2	12	2008
2	2	3.15	12.9	-0.3	0.2	1.9	15	23.5	13	15	1.0	7.5	38.0	23.0	1007.60	1006.95	8.0	2.0	7.7	11.95	0	0	3	12	2008
3	2	3.15	12.9	-0.3	0.2	1.9	4	23.5	9	0	1.0	7.5	44.0	16.0	1009.35	1006.95	0.0	5.0	7.7	11.95	0	0	4	12	2008
4	2	3.15	12.9	-0.3	0.2	1.9	13	23.5	1	7	1.0	7.5	44.0	23.0	1009.35	1006.00	7.0	8.0	7.7	11.95	0	0	5	12	2008
5	2	3.15	12.9	-0.3	0.2	1.9	14	23.5	13	13	1.0	7.5	44.0	23.0	1009.20	1005.40	8.0	5.0	7.7	11.95	0	0	6	12	2008
6	2	3.15	12.9	-0.3	0.2	1.9	13	23.5	12	13	1.0	7.5	44.0	19.0	1009.35	1006.95	1.0	8.0	7.7	11.95	0	0	7	12	2008
7	2	3.15	12.9	-0.3	0.2	1.9	13	23.5	10	13	1.0	7.5	44.0	19.0	1009.35	1006.95	8.0	7.0	7.7	11.95	0	0	8	12	2008
8	2	3.15	12.9	-0.3	0.2	1.9	6	23.5	9	7	1.0	7.5	42.0	9.0	1008.90	1003.60	1.0	8.0	7.7	11.95	0	1	9	12	2008
9	2	3.15	12.9	-0.3	0.2	1.9	13	23.5	8	10	1.0	7.5	44.0	23.0	1007.00	1005.70	1.0	3.0	7.7	11.95	1	0	10	12	2008

Last rows

	Location	MinTemp	MaxTemp	Rainfall	Evaporation	Sunshine	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	date_day	date_month	date_year
145450	41	3.15	12.9	-0.3	0.2	1.9	0	23.5	9	0	1.0	7.5	44.0	23.0	1009.35	1006.95	8.0	3.0	7.7	11.95	16	6	2017
145451	41	3.15	12.9	-0.3	0.2	1.9	2	23.5	8	2	1.0	7.5	44.0	23.0	1009.35	1006.95	1.0	8.0	7.7	11.95	17	6	2017
145452	41	3.15	12.9	-0.3	0.2	1.9	2	23.5	9	0	1.0	7.5	44.0	23.0	1009.35	1006.95	6.0	7.0	7.7	11.95	18	6	2017
145453	41	3.15	12.9	-0.3	0.2	1.9	0	23.5	2	0	1.0	7.5	44.0	23.0	1009.35	1006.95	0.0	6.0	7.7	11.95	19	6	2017
145454	41	3.15	12.9	-0.3	0.2	1.9	0	23.5	2	0	1.0	7.5	44.0	23.0	1009.35	1006.95	8.0	8.0	7.7	11.95	20	6	2017
145455	41	2.80	12.9	-0.3	0.2	1.9	0	23.5	9	1	1.0	7.5	44.0	23.0	1009.35	1006.95	1.0	1.0	7.7	11.95	21	6	2017
145456	41	3.15	12.9	-0.3	0.2	1.9	6	22.0	9	3	1.0	7.5	44.0	21.0	1009.35	1006.95	8.0	5.0	7.7	11.95	22	6	2017
145457	41	3.15	12.9	-0.3	0.2	1.9	3	23.5	9	14	1.0	7.5	44.0	23.0	1009.35	1006.95	8.0	1.0	7.7	11.95	23	6	2017
145458	41	3.15	12.9	-0.3	0.2	1.9	9	23.5	10	3	1.0	7.0	44.0	23.0	1009.35	1006.95	3.0	2.0	7.7	11.95	24	6	2017
145459	41	3.15	12.9	-0.3	0.2	0.7	16	23.5	2	2	1.0	7.5	44.0	23.0	1009.35	1006.95	8.0	8.0	7.7	11.95	25	6	2017

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample